Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Identification of resections with high risk of intraoperative complications is critical ...
PURPOSE: Validation metrics are a key prerequisite for the reliable tracking of scientific progress ...
INTRODUCTION: Gastric gastrointestinal stromal tumors (GISTs) located at the gastroesophageal juncti...
Distinguishing malignant from benign lesions has significant clinical impacts on both early detectio...
BACKGROUND: Disruption of the endothelial glycocalyx (EG) is associated with a poor prognosis in var...
BACKGROUND: The da Vinci Single-port (SP) system is designed to facilitate single-incision robotic s...
BACKGROUND: High body mass index was considered as a risk factor for minimally invasive surgery. The...
PURPOSE: Accuracy of image-guided liver surgery is challenged by deformation of the liver during the...
The hinotori Surgical Robot System obtained pharmaceutical approval for use in colorectal cancer sur...
PURPOSE: In the era of minimal-invasive surgery, the introduction of robotic liver surgery (RS) was ...
OBJECTIVE: Many robotic mitral surgeons utilize right thoracotomy with transthoracic clamping of the...
The incidence of nonalcoholic fatty liver disease is a continuously growing health problem worldwide...
In colorectal cancer (CRC), artificial intelligence (AI) can alleviate the laborious task of charact...
While laparoscopic simulation-based training is a well-established component of general surgery trai...
BACKGROUND: Thoracoscopic-assisted and robot-assisted Mckeown esophagectomy are currently two common...
Proximal gastrectomy (PG) in combination with jejunal pouch interposition is a technique aimed at im...
The development of liver fibrosis as a consequence of continuous inflammation represents a turning ...
OBJECTIVES: Deep learning-reconstructed diffusion-weighted imaging (DL-DWI) is an emerging promising...